AI for professional services firms

Where does the gain from AI for professional services firms sit, and what does it ask of confidentiality?

AI for professional services firms mainly speeds up the reading, analysing and writing that accountants, solicitors, consultants and agencies spend many hours on: AI produces a first draft or a shortlist, the professional judges it and stays accountable for the final result. The choice of tool follows from confidentiality requirements: no client files in free tools, a checked data processing agreement, and firm-wide rules on what's allowed.

Can a DPIA be required for AI for professional services firms?

Yes, for high-risk processing, a Data Protection Impact Assessment for AI for professional services firms is required under UK GDPR, Article 35. With personal data, firms should check whether a DPIA is needed, and the data processing agreement, storage location and training-on-data terms should be checked too.

What does the choice of tool depend on for AI for professional services firms?

On the tasks, the existing software and the data-processing requirements, which tool fits for AI for professional services firms depends, not on the most impressive demo. Specialised tools offer more domain depth, but need a check on the sourcing of references and the pricing model.

Source: article by Dave Willemstein; primary source: UK GDPR, Article 35 (as retained by the Data Protection Act 2018); ICO guidance on DPIAs (checked 27 October 2026). Updated: October 2026.

Why AI pays off for professional services firms

Most of what a professional services firm does is reading, analysing and writing. Searching through files, summarising documents, drafting reports, writing correspondence. That’s exactly what generative AI is good at. AI for professional services firms is therefore less about robots and more about speeding up the knowledge-intensive work that currently costs hours.

There are three reasons this sector benefits in particular:

• Volume. Many tasks come up dozens of times a week in a similar form, such as a memo, a review or a report.
• An existing check step. In most firms, a senior colleague already reviews work before it goes out. That review is the most important safeguard you need.
• Scarcity. Good professionals are hard to find. Time freed up from routine work can go towards advice, client contact or mentoring juniors.

There’s a caveat too. Anyone billing by the hour needs to think through what time savings mean for the business model. And professional reputation is on the line: one mistake in advice to a client weighs heavier than ten hours saved.

Applications by profession

The professional rules differ, but the pattern is the same: AI delivers a first draft or a shortlist, the professional judges it.

Accountancy

In accountancy, the opportunities sit in processing and checking large volumes of data and documents: reading and coding records, flagging anomalies and unusual transactions, reviewing contracts and drafting commentary on figures. ICAEW’s guidance applies the IESBA Code’s five fundamental principles to the use of technology, including generative AI, and names threats such as over-reliance on tools and limited understanding of how they work (ICAEW, Generative AI guide). The common thread: validation and professional judgement remain the basis.

For smaller accountancy practices, client communication is added to that: answering business owners’ questions and translating annual figures into plain language.

Legal

Solicitors and lawyers use AI to search and summarise case files and case law, compare contract versions, flag unusual clauses, and draft documents. This is exactly where the check step matters most: a language model can confidently cite cases that don’t exist.

The Solicitors Regulation Authority issued a warning notice on the misuse of AI in August 2026, following dozens of reports of potential misuse in the preceding twelve months. It flagged two areas in particular: fabricated content, such as invented cases and citations, and client confidentiality, including the risk that free or inadequately secured AI tools compromise legal professional privilege (HSF Kramer summary of the notice). The solicitor stays accountable for the final advice at all times.

Advisory and consulting

Consultants and agencies spend a lot of time on research, processing interviews, structuring analysis and writing reports. AI helps structure interview notes, search past projects, draft a first report structure, and rewrite a proposal for a new client’s context.

The risk here is complacency: reports that sound good but say little. The value of a consultant sits in judgement and choice, and that can’t be outsourced. How one professional services firm introduced an internal AI assistant built around a handful of fixed scenarios is covered in the case study on an AI assistant for knowledge workers.

Tools

For professional services firms there are broadly three kinds of tools, each with a different trade-off:

1. General AI assistantBroadly useful for text and summarising. Choose a business licence with clear terms on your data.
2. AI in existing softwareFeatures inside your practice management, case or accounting software. Works within the environment where your data already sits.
3. Specialised toolsBuilt for legal, tax or audit work. More domain depth, but check the sourcing of its references and the pricing model.

Which tool fits depends on your tasks, your existing software and your data-processing requirements, not the most impressive demo. An overview of the kinds of tools and how to choose between them is on AI tools for business. Firms running Microsoft 365 will find more depth in Microsoft Copilot for business.

When choosing, pay particular attention to: where your data is stored and processed, whether your input is used to train the model, how the tool handles sourcing, and what it costs to switch away again.

Confidentiality and quality

For a professional services firm, confidentiality isn’t an afterthought, it’s the starting point. A few ground rules:

1. No client files in free tools. The less you pay, the more likely your data is being used in some other way. The Solicitors Regulation Authority’s warning notice makes this point explicitly for free or inadequately secured tools.
2. Read the contract, not the brochure. Check the data processing agreement, the storage location and the terms on training on your data. For personal data, check whether a Data Protection Impact Assessment is required; under UK GDPR, Article 35, it’s mandatory for high-risk processing.
3. Set firm-wide rules. Without a policy, every member of staff develops their own approach. How to set that up without creating bureaucracy is covered under AI policy for organisations.
4. Match the check to the risk. An internal note needs a lighter review than advice, an opinion or a document going to court or a regulator.
5. Keep sources checkable. Prefer tools that show where an answer comes from, and always verify references against the original source.

Protecting quality also means measuring it. Pick a few tasks, record upfront how long they take and how many corrections they need, and compare that with AI after a few weeks.

Working mostly with numbers and reporting? AI and BI is also worth a look. Running a small firm? See AI for small business too. The broader picture is on AI for business. Want to talk through the first step for your practice? Book a call.